Strategies for Artificial Intelligence in Healthcare: Generative AI, Predictive Analytics, and the Future of Digital Medicine
暫譯: 醫療保健中的人工智慧策略：生成式人工智慧、預測分析與數位醫學的未來

《醫療保健中的人工智慧策略》揭示了醫療行業中不斷變化的人工智慧（AI）世界。

隨著AI技術的快速進步，醫療行業正成為其最重要且影響深遠的受益者。從作者的觀點來看，AI正在徹底改變醫療保健，承諾改善病人結果、降低成本並提高可及性和效率。AI在醫療保健中的應用並不是一個新概念。事實上，這一技術已經存在了幾十年，但直到最近幾年，其潛力才得以充分實現。從新手術技術的開發到遠程病人護理的遠程醫療應用，技術已經徹底改變了醫療保健的提供方式。隨著大數據和雲計算的興起，AI將成為醫療專業人員的重要工具，使他們能夠以前所未有的方式利用龐大的數據力量。《醫療保健中的人工智慧策略》通過真實案例研究、實用應用和目的方法，成為導航現代醫療行業的終極指南。第二版提供了最新的材料，並刷新和更新了案例研究。

無論您是希望保持最新的經驗豐富的醫療專業人員，還是對最新技術感到好奇，本書都提供了獨特且有價值的見解，展望未來的醫療保健，並與人工智慧攜手並進。

Dr. Frank A. Papay, MD, MS, DSc(hon), FACS, FAAP, FNAI, is a physician-executive, surgeon-scientist, inventor, and healthcare systems innovator whose career spans more than three decades at Cleveland Clinic (Cleveland, Ohio, USA), one of the world's leading academic health systems. He currently serves as Chief Clinical Business Development Officer of Cleveland Clinic Enterprise and former Chairman of Dermatology and Plastic Surgery Institute, where he advises enterprise leadership on growth strategy, innovation portfolio governance, translational commercialization, and AI-enabled care delivery across a $16B+ global healthcare organization.

Dr. Papay is internationally recognized for pioneering work at the intersection of advanced surgery, medical technology, and artificial intelligence. As lead surgeon for America's first total face transplant, he helped establish the clinical, ethical, and regulatory framework for vascularized composite allotransplantation in the United States. His career includes numerous surgical "firsts," including novel neuromodulation approaches for chronic pain and migraine, robotic endoscopic nerve reconstruction, and minimally invasive skull-base procedures that replaced high-morbidity open operations.

A prolific innovator, Dr. Papay is an inventor on 40+ issued U.S. patents and 70+ provisional patents spanning surgical devices, digital platforms, neuromodulation technologies, and AI-assisted systems. He has founded and advised multiple venture-backed healthcare companies, guiding technologies from concept through first-in-human trials, regulatory pathways, and institutional capital raises. His experience includes collaboration with venture capital, private equity, and sovereign-aligned investment platforms focused on scaling healthcare innovation globally.

A central focus of his recent work is the integration of artificial intelligence into clinical operations, surgical navigation, and healthcare system performance. Dr. Papay is Co-Founder of BrainX.AI, a global consortium developing machine learning systems for healthcare applications, including surgical intelligence, predictive analytics, and AI-driven decision support. His work emphasizes responsible AI adoption, clinical governance, and translating data science into measurable improvements in patient outcomes, operational efficiency, and system scalability.

Dr. Papay has authored or co-authored more than 260 peer-reviewed scientific publications and multiple foundational scholarly texts. His books include Reconstructive Allotransplantation, a landmark reference in composite tissue transplantation; Virtual Surgical Planning in Surgery, advancing digital precision surgery; Voices of Innovation: Essays on Artificial Intelligence in Healthcare; and Artificial Intelligence Strategies in Healthcare, where he contributes leadership perspectives on AI governance, clinical integration, and system transformation.

He is a Fellow of the National Academy of Inventors and recipient of the Cleveland Clinic's prestigious Sones Centennial Innovation Award, among many national and international honors. Across his clinical, academic, and executive roles, Dr. Papay's work bridges medicine, engineering, and AI, shaping how intelligent technologies are responsibly deployed to build the next generation of healthcare delivery systems worldwide.

Dr. Piyush Mathur, MD, FCCM, FASA FAMIA, is a Staff Anesthesiologist and Critical Care Physician at Cleveland Clinic, Ohio, USA, with more than 20 years of experience as a clinician. He is the Innovation Lead for the Department of Anesthesiology, Cleveland Clinic.

He has also served in the role of the Quality Improvement Officer and Chair, Compliance Committee, Anesthesiology Institute for more than a decade. He completed his medical school training in India at the Armed Forces Medical College (AFMC, Pune), followed by residency in Anesthesiology and a fellowship in Critical Care at Cleveland Clinic.

He subsequently completed a one-year quality fellowship at Cleveland Clinic. He has completed training in computer programming, machine learning, and deep learning. He is the Past Program Director of the Anesthesiology Critical Care fellowship program at Cleveland Clinic. A recognized leader in critical care, quality, education, and artificial intelligence applications in healthcare, he has led many of the local and national programs, including serving as the chair of the post-graduate education and coding and documentation committees of the Society of Critical Care Medicine (SCCM).

He is currently a member of the CPT Editorial Advisory Committee, AMA (American Medical Association) and a primary advisor to SCCM. Trained in computer programming, machine learning, and deep learning, he is the founder of BrainX, an AI in healthcare application research and development company. He also founded one of the largest groups for machine learning in healthcare, BrainX Community. He has focused his research on applications of artificial intelligence (AI) in healthcare for many years. He is a leader in quality and patient safety who has innovated and successfully implemented many algorithms and tools in electronic health records such as difficult airway identification (EPIC), anesthesia awareness alert (DSS, Talis), and antibiotic alert (ACG, Talis).

Recipient of multiple innovation awards at Cleveland Clinic, he is leading innovation efforts in integrating machine learning and artificial intelligence in healthcare. Current projects include AIDE (Artificial Intelligence Diagnosis Engine), SALUS (robotic artificial intelligence patient safety system), and BRAINS (Biologically Relational Artificial Intelligence Networking System).

He is a recipient of numerous local and international awards including the Institute of Healthcare Improvement (IHI) Permanente Award and the prestigious Presidential Citation from the Society of Critical Care Medicine (SCCM). He has made numerous local, national, and international presentations and publications in the fields of anesthesiology, critical care, quality, education, and artificial intelligence applications in healthcare. For his work in the field of AI and healthcare, he was awarded the AI Clinician of the Year at the 2025 AIMed Conference.

法蘭克·A·帕佩醫生，醫學博士，碩士，榮譽科學博士，FACS，FAAP，FNAI，是一位醫生執行官、外科醫生科學家、發明家及醫療系統創新者，其職業生涯跨越三十多年，任職於克里夫蘭診所（美國俄亥俄州克里夫蘭），這是全球領先的學術健康系統之一。他目前擔任克里夫蘭診所企業的首席臨床業務發展官，並曾任皮膚科與整形外科研究所的主席，為企業領導層提供增長策略、創新投資組合治理、轉化商業化及基於人工智慧的護理交付建議，該機構的全球醫療保健業務規模超過160億美元。

帕佩醫生因其在先進外科、醫療技術和人工智慧交匯處的開創性工作而享有國際聲譽。作為美國首例全臉移植的主刀醫生，他幫助建立了美國血管化複合物異體移植的臨床、倫理和監管框架。他的職業生涯包括多項外科“首創”，包括針對慢性疼痛和偏頭痛的新型神經調節方法、機器人內窺鏡神經重建及取代高發病率開放手術的微創顱底手術。

作為一位多產的創新者，帕佩醫生擁有40多項已授權的美國專利和70多項臨時專利，涵蓋外科設備、數位平台、神經調節技術和人工智慧輔助系統。他創立並顧問多家風險投資支持的醫療公司，指導技術從概念到首次人體試驗、監管途徑及機構資本募集。他的經驗包括與專注於全球擴展醫療創新的風險投資、私募股權及主權對齊投資平台的合作。

他最近工作的核心重點是將人工智慧整合進臨床運作、外科導航和醫療系統性能。帕佩醫生是BrainX.AI的共同創辦人，該全球聯盟正在開發用於醫療應用的機器學習系統，包括外科智能、預測分析和人工智慧驅動的決策支持。他的工作強調負責任的人工智慧採用、臨床治理，以及將數據科學轉化為可衡量的患者結果、運營效率和系統可擴展性的改進。

帕佩醫生已發表或共同發表超過260篇同行評審的科學出版物和多部基礎學術著作。他的書籍包括重建異體移植，這是複合組織移植的里程碑參考書；外科手術中的虛擬手術規劃，推進數位精準外科；創新之聲：醫療保健中的人工智慧隨筆；以及醫療保健中的人工智慧策略，在其中他貢獻了有關人工智慧治理、臨床整合和系統轉型的領導觀點。

他是全國發明家學院的院士，並獲得克里夫蘭診所的著名索內斯百年創新獎，以及許多國內外榮譽。在他的臨床、學術和執行角色中，帕佩醫生的工作橋接了醫學、工程和人工智慧，塑造了智能技術如何負責任地部署，以建立全球下一代醫療交付系統。

皮尤什·馬圖爾醫生，醫學博士，FCCM，FASA FAMIA，是克里夫蘭診所（美國俄亥俄州）的麻醉科醫生和重症醫學醫生，擁有超過20年的臨床經驗。他是克里夫蘭診所麻醉科的創新負責人。

他還在麻醉科研究所擔任質量改進官和合規委員會主席超過十年。他在印度的武裝部隊醫學院（AFMC，浦那）完成醫學學校訓練，隨後在克里夫蘭診所完成麻醉學住院醫師訓練和重症醫學研究所的獎學金。

他隨後在克里夫蘭診所完成了一年的質量獎學金。他已完成計算機編程、機器學習和深度學習的訓練。他曾擔任克里夫蘭診所麻醉科重症醫學獎學金計劃的前計劃主任。作為重症醫學、質量、教育和醫療保健中人工智慧應用的公認領導者，他主導了許多地方和全國性計劃，包括擔任重症醫學學會（SCCM）研究生教育及編碼和文檔委員會的主席。

他目前是美國醫學會（AMA）CPT編輯諮詢委員會的成員，並且是SCCM的主要顧問。受過計算機編程、機器學習和深度學習的訓練，他是BrainX的創始人，這是一家專注於醫療保健應用的人工智慧研究和開發公司。他還創立了醫療保健中最大的機器學習團體之一，BrainX Community。他多年來專注於人工智慧（AI）在醫療保健中的應用研究。他是一位質量和患者安全的領導者，創新並成功實施了許多電子健康記錄中的算法和工具，如困難氣道識別（EPIC）、麻醉意識警報（DSS，Talis）和抗生素警報（ACG，Talis）。

他獲得了克里夫蘭診所的多項創新獎，並在將機器學習和人工智慧整合到醫療保健中的創新工作中領導著努力。目前的項目包括AIDE（人工智慧診斷引擎）、SALUS（機器人人工智慧患者安全系統）和BRAINS（生物關聯人工智慧網絡系統）。

他獲得了多項地方和國際獎項，包括醫療改善研究所（IHI）永久獎和重症醫學學會（SCCM）頒發的著名總統獎。他在麻醉學、重症醫學、質量、教育和人工智慧應用於醫療保健的領域發表了多次地方、全國和國際演講和出版物。因其在人工智慧和醫療保健領域的工作，他在2025年AIMed大會上獲得了年度人工智慧臨床醫生獎。